MétaCan
Menu
← Back to cohort
Record W4210519292 · doi:10.2196/preprints.10184

Emergency physician use and perceptions of the Alberta Netcare Portal, a province-wide interoperable electronic health record (Preprint)

2018· preprint· en· W4210519292 on OpenAlexaffabout
Timothy A.D. Graham, Mark Ballerman, Eddy Lang, Michael J. Bullard, D Parsons, Gabriella Mercuur, Pat San Agustin, Samina Ali

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldHealth Professions
TopicElectronic Health Records Systems
Canadian institutionsUniversity of AlbertaAlberta Health Services
Fundersnot available
KeywordsAuditElectronic health recordMedicineInterquartile rangeHealth information exchangeMedical emergencyVendorInteroperabilityMedical recordFamily medicineBusinessHealth informationHealth careWorld Wide WebComputer scienceAccountingPolitical scienceSurgery

Abstract

fetched live from OpenAlex

BACKGROUND The adoption and use of an Electronic Health Record can facilitate real-time access to key health information and support improved outcomes. Many Canadian provinces use interoperable Electronic Health Records (iEHRs) to facilitate Health Information Exchange (HIE), but, to date, the clinical use and utility of iEHRs has not been well-described. OBJECTIVE Our study's primary objective was to describe the use and reported utility of a provincial iEHR known as the Alberta Netcare Portal (ANP) in four urban Alberta emergency departments (EDs). The secondary objectives were to characterize the time spent using the respective electronic tools, and which aspects were perceived as most useful by ED physicians. METHODS Four EDs were included in the study, two using paper-based ordering (University of Alberta Hospital [UAH] and Grey Nuns Community Hospital [GNCH]) and two using a commercial vendor Clinical Information System (Peter Lougheed Centre [PLC] and Foothills Medical Centre [FMC]). Structured clinical observations of ANP use, semi-structured interviews, and system audit logs analysis were compared at the four sites from October 2014 to March 2016. RESULTS Observers followed 142 physicians for a total of 566 hours over 376 occasions. The median percentage of observed time spent using ANP was 8.5% at UAH (interquartile range IQR: 3.7% - 13.3%), 4.4% at GNCH (2.4%-4.4%), 4.6% at FMC (2.4%-7.6%), and 5.1% at PLC (3.0%-7.7%). By combining administrative and access audit data, the median number of ANP screens (i.e., results and reports displayed on a screen) accessed per patient visit were 20 at UAH (IQR: 6-67), 9 at GNCH (4-29), 7 at FMC (2-18) and 5 at PLC (2-14) indicating that clinicians found significant value in using ANP while providing ED care. To explore this hypothesis, semi-structured interviews were analyzed using an inductive approach. The themes that emerged from the interviews were that the ANP improved the quality and continuity of care and patient safety. Further enhancements related to medication management would support better outcomes for patients. CONCLUSIONS This study shows that the iEHR is well utilized at the four sites studied and physicians participating in the study perceived ANP had a positive impact on knowledge of their patients, patient safety, and quality and continuity of care. Physicians described high utility and usability of ANP. More study about the clinical impacts of using iEHRs in the Canadian context, including longer term impacts on quality of practice and safety are required.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.338
Threshold uncertainty score0.680

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.045
GPT teacher head0.378
Teacher spread0.332 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2018
Admission routes2
Has abstractyes

Explore more

Same topicElectronic Health Records Systems→French-language works237,207→